Aims of Special Session

Continuous border traffic growth, combined with the increased threat of illegal immigration, is putting border agencies under considerable pressure internationally. Border control is likely to face increasing demands for performance efficiency whilst maintaining high levels of security and conformity to legal frameworks, implying the need for intelligent systems that are user friendly and reliable in operational conditions, overcoming the limitations and potential gaps of current operational procedures. Key challenges are in the design of such systems which harness computational intelligence algorithms whilst allowing human empowerment, through the use of technologies which are familiar to all stakeholders.

To address these challenges multi-disciplinary research needs to be carried out in order to develop comprehensive systems to be designed and implemented which can provide automated computationally intelligence platforms. Recent research examples focused on the land border control include disciplines in the areas of: analysis of the traveller’s non-verbal behaviour, analytics of document authenticity, discovery of key patterns through data-mining and machine learning for border control analytics, hidden human detection to confront illegal immigration, advanced algorithms, big data, artificial intelligence and neural networks along with face, fingerprints and palm vein biometric models. These are just some key examples of how scientific disciplines can be combined together to enable automatic risk assessment enabling reliable decision making at border control points which respect an individual’s privacy whilst maintaining data security.

Based on these emerging research trends, the aims of this Special Session are to:

  • to provide a forum for new computational intelligence methodologies / techniques and systems which contribute towards improving border crossing efficiency and security within border control solutions;
  • to provide the opportunity to present recent advances towards holistic systems that combine computational intelligence within an expanded multi-disciplinary context
  • to highlight and assess novel insights and intelligence that can effectively contribute in identifying threats, vulnerabilities and risks in border control improving decision making and efficiency
  • to investigate the social and ethical implications of using computational intelligence technology on the ‘passenger’ themselves.